KEYWORDS: Clouds, Image segmentation, Image processing algorithms and systems, Evolutionary algorithms, Detection and tracking algorithms, Distance measurement, Lithium, Data modeling, Data mining, Digital watermarking
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. This paper proposes
a new method of cloud synthesis which is the key technology of cloud model. Based on the new method, a novel image
segmentation algorithm is proposed. Experiments show that the new method of cloud synthesis is more effective and
appropriate for image segmentation, and the novel image segmentation algorithm is more effective and robust than the
traditional image segmentation algorithms.
In this paper, mechanisms of mineral radiation transfer, atmospheric correction and surface temperature retrieve, method
of minerals identification based on emissivity spectral features are studied. Mineral radiation transfer can model the
mechanisms of spectral formation and variation, and is one of study methods of spectral mechanism. Along with the
variation of mineral granularity, the shape and absorption depth of mineral emissivity spectral will all variate. However,
the law of emissivity variation with emission angle of different minerals is identical. Along with the increasement of
emission angle, emissivity decrease. The more emissivity is small, the more variation range and speed are large. The
reflectance mixture of mineral is non-linear, and can be lineated using mineral radiative transfer model. After the mixture
spectral is lineated, the precision of linear unmixing of spectral and mineral content extraction will be improved greatly.
The atmospheric correction and surface temperature retrieve of thermal remote sensing data will affect extraction
lithologic information greatly. In this paper, using the MODTRAN model to atmospheric correction, and using
split-window algorithm for retrieving surface temperature from ASTER thermal infrared data. With the minerals
emissivity spectral features and the index (QI, CI and SI), retrieving Si02 content of rock quantitatively using ASTER
thermal infrared data. The method can be used to extract lithologic information.
There are much uncertainty in the process of image segmentation, The paper firstly researched the sources of uncertainty of image segmentation; and then analyzed the method of image segmentation based on K means cluster, and the method based on fuzzy K means cluster; and then, the paper researched the theory of cloud model, which considers the fuzziness, random and the their association of uncertainty. The paper put forward a new method of image segmentation based on cloud model. Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.
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